Triple
T30958781
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Officer Martinez |
E788749
|
entity |
| Predicate | countryOfWorkLocation |
P190281
|
FINISHED |
| Object | United States |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: United States | Statement: [Officer Martinez, countryOfWorkLocation, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryOfWorkLocation Context triple: [Officer Martinez, countryOfWorkLocation, United States]
-
A.
locationOfWork
Indicates the place or site where an entity performs its work or carries out its professional activities.
-
B.
relatedWorkLocation
Indicates that one entity has a work-related connection to the location represented by the other entity.
-
C.
placeOfOriginOfWork
Indicates the location where a work (such as an artwork, literary piece, or other creation) was originally produced or created.
-
D.
hasWorksLocatedIn
Indicates that the works or creations associated with an entity are situated or stored in a specified location.
-
E.
workedInLocation
chosen
Indicates that an entity performed work or held a job in a specified geographic location or place.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f224c28c1881908c33b45d689f1724 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69ffb5c373948190a6606e8caa87a384 |
completed | May 9, 2026, 10:31 p.m. |
| PD | Predicate disambiguation | batch_69ffb261da788190b41399df8ed895e8 |
completed | May 9, 2026, 10:17 p.m. |
Created at: April 29, 2026, 8:54 p.m.